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cs.LG2021★ 16 cited
Learning to Ground Multi-Agent Communication with Autoencoders
Toru Lin, Minyoung Huh, Chris Stauffer +2
Communication requires having a common language, a lingua franca, between agents. This language could emerge via a consensus process, but it may require many generations of trial a…
cs.LG2020
Visual Grounding of Learned Physical Models
Yunzhu Li, Toru Lin, Kexin Yi +5
Humans intuitively recognize objects' physical properties and predict their motion, even when the objects are engaged in complicated interactions. The abilities to perform physical…
cs.LG2019
Model Based Planning with Energy Based Models
Yilun Du, Toru Lin, Igor Mordatch
Model-based planning holds great promise for improving both sample efficiency and generalization in reinforcement learning (RL). We show that energy-based models (EBMs) are a promi…